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Scientific impact is traditionally assessed with citation-based metrics. Recently, altmetric indices have been introduced to measure scientific impact both within academia and among the general public. However, little research has investigated the association between the linguistic features of research article titles and received online attention. To address this issue, the authors examined in the present study the relationship between a series of title features and altmetric attention scores.

The data included 8,658 titles of Science articles. The authors extracted six features from the title corpus (i.e. mean word length, lexical sophistication, lexical density, title length, syntactic dependency length and sentiment score). The authors performed Spearman’s rank analyses to analyze the correlations between these features and online impact. The authors then conducted a stepwise backward multiple regression to identify predictors for the articles' online impact.

The correlation analyses revealed weak but significant correlations between all six title features and the altmetric attention scores. The regression analysis showed that four linguistic features of titles (mean word length, lexical sophistication, title length and sentiment score) have modest predictive effects on the online impact of research articles.

In the internet era with the widespread use of social media and online platforms, it is becoming increasingly important for researchers to adapt to the changing context of research evaluation. This study identifies several linguistic features that deserve scholars’ attention in the writing of article titles. It also has practical implications for academic administrators and pedagogical implications for instructors of academic writing courses.

Previous research concerning automatic extraction of research topics mostly used rule-based or topic modeling methods, which were challenged due to the limited rules, the interpretability issue and the heavy dependence on human judgment. This study aims to address these issues with the proposal of a new method that integrates machine learning models with linguistic features for the identification of research topics.

First, dependency relations were used to extract noun phrases from research article texts. Second, the extracted noun phrases were classified into topics and non-topics via machine learning models and linguistic and bibliometric features. Lastly, a trend analysis was performed to identify hot research topics, i.e. topics with increasing popularity.

The new method was experimented on a large dataset of COVID-19 research articles and achieved satisfactory results in terms of f-measures, accuracy and AUC values. Hot topics of COVID-19 research were also detected based on the classification results.

This study demonstrates that information retrieval methods can help researchers gain a better understanding of the latest trends in both COVID-19 and other research areas. The findings are significant to both researchers and policymakers.

This paper aims to discuss the strengths and limitations of Zhao et al. (2022). The author also provides suggestions for future research.

The author initially reviews prior literature studies relevant to this study, i.e. the literature on the relation between geographic proximity and information transfer/acquisition, to better position this paper in existing literature and then briefly discusses the strengths and weaknesses of this paper to provide more insights. Finally, the author presents some possible directions for future research, highlighting the importance of separately examining headquarters and plants in this research setting, and motivating future research on the development of information technology.

Followership is the free will recognition of leadership in the commitment toward realization of the collectively adopted organization vision and culture. The purpose of this paper is to identify the relationship between project managers’ leadership and their followership. Most project managers are both leaders and followers at the same time, but research typically investigates only their leadership. This ignores followership as an important aspect in understanding and predicting behavior, and further in the selection of project managers.

The method used for this paper is the explanatory in nature and a deductive approach, within which the above research hypothesis is tested through quantitative techniques. Data are collected through a nation-wide survey in China. Data analysis was done through factor analysis, canonical correlation analysis and multiple regression analysis.

The results show that transformational leadership is positively correlated with transformational followership and transactional followership, and that transactional leadership is negatively correlated with transactional followership.

The paper supports a deeper investigation into leadership and followership theories. A model for both leadership and followership is developed. The findings from this paper will guide organizations to choose the project managers.

The originality lies in the new way to examine the relationship between leadership and followership. It is the first study on the relationship of project managers. Its value is new insights, which introduced a new perspective to understand leadership and followership.

A switching depth controller based on a variable buoyancy system (VBS) is proposed to improve the performance of small autonomous underwater vehicles (AUVs). First, the requirements of VBS for small AUVs are analyzed. Second, a modular VBS with high extensibility and easy integration is proposed based on the concepts of generality and interchangeability. Subsequently, a depth-switching controller is proposed based on the modular VBS, which combines the best features of the linear active disturbance rejection controller and the nonlinear active disturbance rejection controller.

The controller design and endurance of tiny AUVs are challenging because of their low environmental adaptation, limited energy resources and nonlinear dynamics. Traditional and single linear controllers cannot solve these problems efficiently. Although the VBS can improve the endurance of AUVs, the current VBS is not extensible for small AUVs in terms of the differences in individuals and operating environments.

The switching controller’s performance was examined using simulation with water flow and external disturbances, and the controller’s performance was compared in pool experiments. The results show that switching controllers have greater effectiveness, disturbance rejection capability and robustness even in the face of various disturbances.

A high degree of standardization and integration of VBS significantly enhances the performance of small AUVs. This will help expand the market for small AUV applications.

This solution improves the extensibility of the VBS, making it easier to integrate into different models of small AUVs. The device enhances the endurance and maneuverability of the small AUVs by adjusting buoyancy and center of gravity for low-power hovering and pitch angle control.

The purpose of this study is to regard winter heating as a quasi-natural experiment to identify the possible causal effects of winter heating on population mobility. However, there are scant research studies examining the effect of atmospheric quality on population mobility. There also exists some relevant research studies on the relationship between population mobility and environmental degradation (Lu et al., 2018; Reis et al., 2018; Shen et al., 2018), and these studies exist still some deficiencies.

The notorious atmospheric quality problems caused by coal-fired heating in winter of northern China have an aroused widespread concern. However, the quantitative study on the effects on population mobility of winter heating is still rare. In this study, the authors regard the winter heating as a quasi-natural experiment, based on the of daily panel data of 58 cities of Tencent location Big Data in China from August 13 to December 30 in 2016 and August 16 to December 30 in 2017, and examine the impacts of winter heating on population mobility by utilizing a regression discontinuity method.

The findings are as follows, in general, winter heating significantly aggravates regional population mobility, but the impacts on population mobility among different cities are heterogeneous. Specifically, the effects of winter heating on population mobility is greater for cities with relatively good air quality, and the effects is also more obvious for big and medium-sized cities than that in small cities. In addition, different robustness tests, including continuity test, different bandwidth tests and alternative empirical model, are adopted to ensure the reliability of the conclusion. Finally, the authors put forward corresponding policy suggestions from the three dimensions of government, enterprises and residents.

First, regarding winter heating as a quasi-natural experiment, a regression discontinuity design method is introduced to investigate the relationship between winter heating and population mobility, which is helpful to avoid the estimation error caused by endogeneity. Second, the authors use the passenger travel “big data” based on the website of Tencent Location Big Data, which can effectively capture the daily characteristics of China's population mobility. Third, this study discusses the population mobility from the perspective of winter heating and researches population mobility before and after winter heating, which is helpful in enriching the research on population mobility.

The purpose of this paper is to examine whether the presence of returnees serving on the audit committee affects auditor choice in emerging markets.

Using a logistic model, this study tests the relationship between the presence of returnees in the audit committee and auditor selection and how this relationship varies with the level of agency costs. The authors also perform several other additional analyses to ensure the robustness of the results, including propensity score matching, Heckman’s two-stage model and change analysis.

Using A-share listed companies in China from 2008 to 2016, the authors find a positive association between the presence of audit committee returnees and a demand for high-quality auditors and such association is strengthened in firms with a higher level of agency costs. The authors further find that discretionary accruals and the incidence of financial restatements are lower in firms with audit committee returnees.

Although this study focuses on audit committee members with foreign study or foreign work experience, it remains to be seen if similar effects could be achieved through foreign ownership or work experience with foreign customers or suppliers.

This study provides evidence on a new channel of international knowledge spillover through which the emigration of talent increases board monitoring by demanding high-quality auditors in an emerging economy.

This research uses rational choice theory to analyze the effects of motivation, premeditation and offender characteristics on offenders' weapons during decision-making processes when they are violent towards on-duty police officers. The paper aims to discuss the aforementioned issues.

The researchers examined 597 cases (n = 597) of violence against the police in the China Judgments Online (CJO) database, and analyzed the data using multinomial logistic regression methods. Rational choice theory was used to explore the offenders' weapons decision-making process.

The research results showed that offenders with premeditation were more likely to use a weapon, and tended to choose sharp weapons; offenders motivated to “escape arrest” were more likely to use a weapon, and tended to choose a vehicle as a weapon; and offenders motivated by “conflict resolution” were more likely to choose a sharp or blunt weapon.

These findings have limited applicability to other countries and must be considered in the local background of violence against police.

Through the rational choice theory analytical framework, this study clarifies how motivation and premeditation influence offenders' weapons decision-making processes.

Also, this study may provide support for frontline police officers' law enforcement.

The research identified some specific connections between offenders' weapon choice preferences, their motivation for the violence and whether or not there was premeditation. The findings provide guidance for police agencies developing preventive policies, and for frontline officers in interpreting and managing the situations they face.